Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/gonzalezpazmonica/pm-workspaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/gonzalezpazmonica/pm-workspace/banking-eda-validate)<a href="https://agentmods.dev/commands/gonzalezpazmonica/pm-workspace/banking-eda-validate"><img src="https://agentmods.dev/badge/commands/gonzalezpazmonica/pm-workspace/banking-eda-validate/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/gonzalezpazmonica/pm-workspace/banking-eda-validate"><img src="https://agentmods.dev/badge/commands/gonzalezpazmonica/pm-workspace/banking-eda-validate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00027 | $0.00899 |
| Opus 5 | $0.00014 | $0.00449 |
| Sonnet 5 | $0.00005 | $0.00180 |
| Haiku 4.5 | $0.00003 | $0.00090 |
Grade A, and why
banking-eda-validate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to banking-eda-validate — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/banking-eda-validate [--project {nombre}] [--fix] [--focus topics|schemas|reliability]
🏦 Valida tu arquitectura event-driven: Kafka, schemas, Sagas, reliability patterns.
Cargar perfil y skill
Grupo: Architecture & Tech — cargar identity.md + projects.md + preferences.md.
Reference: @.opencode/skills/banking-architecture/references/eda-patterns-banking.md
Parámetros
--project {nombre}— Proyecto (default: activo)--fix— Generar correcciones sugeridas (default: solo análisis)--focus {area}— Focalizar en:topics|schemas|reliability(default: all)
Flujo
Paso 1 — Detectar infraestructura EDA
Buscar en código, config y Docker/K8s:
- Kafka brokers, topics, consumer groups
- Schema Registry (Confluent, Apicurio, AWS Glue)
- Event stores, outbox tables
- Message brokers alternativos (AMQ, MSK, Pulsar)
Paso 2 — Validar Topic Design
Verificar convenciones de naming, partitioning y configuración:
| Check | Esperado | Criticidad |
|---|---|---|
| Naming convention | {domain}.{entity}.{event} |
WARNING |
| Partitioning key | account_id o correlation_id | CRITICAL |
| Retention policy | ≥7 días para banca | WARNING |
| Replication factor | ≥3 en producción | CRITICAL |
| DLQ configurado | Sí para cada consumer | CRITICAL |
| Compaction | Solo para snapshots/state | INFO |
Paso 3 — Validar Schemas
Si hay Schema Registry:
- Compatibilidad: BACKWARD o FULL recomendado
- Formato: Avro o Protobuf (JSON sin schema = ❌)
- Evolución: verificar que no hay breaking changes
- Campos obligatorios:
event_id,timestamp,correlation_id,source
Paso 4 — Validar Reliability Patterns
| Pattern | Check | Criticidad |
|---|---|---|
| Idempotencia | Consumer dedup por event_id | CRITICAL |
| Outbox Pattern | Evento en tabla + Kafka en misma TX | CRITICAL |
| Circuit Breaker | Configurado para servicios downstream | WARNING |
| Retry con backoff | Exponential backoff, max retries | WARNING |
| Dead Letter Queue | DLQ con alertas | CRITICAL |
| Exactly-once | Kafka Transactions habilitadas | WARNING |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 107 lines · 27 tokens per session scan A ca6e72d1eabb
banking-eda-validate is a command published in the GitHub repository gonzalezpazmonica/pm-workspace (49 stars, last pushed 5d ago), licensed MIT. It adds 27 tokens to every session and 899 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to banking-eda-validate, differing in 0 lines, and is treated as a copy.
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